most citedCTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2025

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents

Yankai Jiang, Wenjie Lou, Lilong Wang +17

We introduce SCP: the Science Context Protocol, an open-source standard designed to accelerate discovery by enabling a global network of autonomous scientific agents. SCP is built…

cs.CV2025

PRISM: A Framework Harnessing Unsupervised Visual Representations and Textual Prompts for Explainable MACE Survival Prediction from Cardiac Cine MRI

Haoyang Su, Jin-Yi Xiang, Shaohao Rui +6

Accurate prediction of major adverse cardiac events (MACE) remains a central challenge in cardiovascular prognosis. We present PRISM (Prompt-guided Representation Integration for S…

cs.CV20251 cited

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs

Haoyang Su, Shaohao Rui, Jinyi Xiang +2

Accurate and contrast-free Major Adverse Cardiac Events (MACE) prediction from Cine MRI sequences remains a critical challenge. Existing methods typically necessitate supervised le…

eess.IV2025

A Composite Alignment-Aware Framework for Myocardial Lesion Segmentation in Multi-sequence CMR Images

Yifan Gao, Shaohao Rui, Haoyang Su +3

Accurate segmentation of myocardial lesions from multi-sequence cardiac magnetic resonance imaging is essential for cardiac disease diagnosis and treatment planning. However, achie…

cs.AI2025

CardioCoT: Hierarchical Reasoning for Multimodal Survival Analysis

Shaohao Rui, Haoyang Su, Jinyi Xiang +2

Accurate prediction of major adverse cardiovascular events recurrence risk in acute myocardial infarction patients based on postoperative cardiac MRI and associated clinical notes…